In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.
An excellent course. A great way to teach building streaming data pipelines and optimizing queries on BigQuery and BigTable (by , inter alia, partitioning data sets )through hands-on labs.
I really enjoyed this course. There is ample time in the labs to experiment and get familiar with the concepts and techniques being taught in this course.
Great course to understand how to create batch and streaming pipelines to ingest data into data lakes and data warehouses, and advanced bigquery techniques optimization.
Very useful course for data engineers specially covered lot of ways to optimize sql in bigquery
A great way to start on the road to understanding streaming data and how to use it for insights
Overall, I thought this course was valuable. I am not aware of how to deal with streaming systems and considerations when leveraging these systems in applicaitons.
Excellent course, I've learned more about Bigquery. I would like more Dataflow real examples.
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
This course has the most important technique for building streaming data and building efficient big queries.
This one really helps!!! However, I would appreciate if dataflow job such as averagespeed was written in python. No worries I will write one myself!! Thanks a lot for everything!!!
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
The most compacted and impacted course in data engineering with abundance of resources. A lot to learn from this course.
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Nitin Aggarwal presentation was mediocre, Evan Jones is the best in this module.
An Indian have strong accent, it hard to listening and focus on lecture content.
Well in my opinion the most interesting part is on the topic of optimization of big query. Because from this student, specially me who take this course can gain an secret that we may not know if we didn't experience in the field or somebody tell us about how to perform the optimization
Apart from the pub/sub/stream and bigtable modules, it's got great techniques for sharpening up your BigQuery SQL skills by approaching query investigation in a tactful way that will massively reduce query overhead while attaining optimisation
The course really teaches not just about the tools involved but also a real life production scenarios where these can be used.Then I would recommend this course to any fresher out there who wants to learn data engineering from scratch.
Indeed, super informative course with pretty much detailing covered only trouble I faced with lab "Streaming Data Processing: Streaming Data Pipelines into Bigtable" where ProgressCheck for Task 3 was not completing despite performing correct steps which landed me on ending up retry lab attempts(5) with same issue everytime and then lastly I seek help from chat support where support engineer helped me to reset my lab quota and then lab worked on very first attempt and finally I got completion certificate...Finally :)
Good overview. The streaming labs are hands-on with sufficient checkpoints. The BigQuery labs have good checkpoints too, but queries written by the lab are a bit hard to read - making it hard to compare the "antipatterns" and the "best practices". Otherwise, great course.
Without a doubt the best course, I have learned a lot not only from GCP but from many aspects of cloud computing and the skills necessary for a data engineer. Thank you very much for the opportunity.
Great course on understanding how to build streaming pipelines to ingest data into datalakes and datawarehouses , as well as techniques and technologies that support data querying optimization
Excellent, googles team explains things in a straightforward and hands-on manner that gets you ready to start integrating BigQuery, BigTable, DataFusion, and Data Studio in a matter of hours.
An excellent course. A great way to teach building streaming data pipelines and optimizing queries on BigQuery and BigTable (by , inter alia, partitioning data sets )through hands-on labs.
Great intro for streaming data with Google Cloud products. Especially liked learning with Qwiklabs, you really use the actual GCP! Also some nice examples of BigQuery GIS functions.
Great course to understand how to create batch and streaming pipelines to ingest data into data lakes and data warehouses, and advanced bigquery techniques optimization.
I learned more about Big Query and Windows functions in this course i recommande it to every body who want to perform on BQ. Thanks Google for this awsome course.
A great introduction course to the GCP services that makes easier the building of streaming systems. Using Qwiklabs in the labs to learn using GCP was perfect!
I really enjoyed this course. There is ample time in the labs to experiment and get familiar with the concepts and techniques being taught in this course.
This course describes in a deep way the main concepts of streaming processing on GCP. The updates respect to previous course are very relevant.
It was really good experience as always at Google cloud platform. Thanks for the team for materials and great course content. appreciated.
Another excellent course. Many opportunities to use Cloud Dataflow and effective ways of using Google's big data warehouse, BigQuery.
Clair et complet
C'est parce qu'il y a ce genre de contenu que je progresse beaucoup plus vite sur GCP que sur les autres plateformes.